Triple

T5027965
Position Surface form Disambiguated ID Type / Status
Subject d’Aubigny E113222 entity
Predicate hasAnglicisedForm P3437 FINISHED
Object Daubeny
Daubeny is an English surname derived from the Norman French family name d’Aubigny.
 E487725 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Daubeny | Statement: [d’Aubigny, hasAnglicisedForm, Daubeny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Daubeny
Context triple: [d’Aubigny, hasAnglicisedForm, Daubeny]
  • A. Warburton
    Warburton is a surname of English origin borne by various notable individuals, including actors, athletes, and public figures.
  • B. Warburton
    Warburton is a village in Greater Manchester, England, known for its historic church, toll bridge over the River Mersey, and rural character.
  • C. Warburton
    Warburton is a small town in Victoria, Australia, known for its scenic forested setting in the Yarra Valley and popularity as a nature and weekend getaway destination.
  • D. Yates
    Yates is a surname of English origin borne by various notable individuals across literature, politics, sports, and other fields.
  • E. Wollaston
    Wollaston is a Massachusetts Bay Transportation Authority (MBTA) rapid transit station on the Red Line located in Quincy, Massachusetts.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Daubeny
Triple: [d’Aubigny, hasAnglicisedForm, Daubeny]
Generated description
Daubeny is an English surname derived from the Norman French family name d’Aubigny.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Daubeny
Target entity description: Daubeny is an English surname derived from the Norman French family name d’Aubigny.
  • A. Warburton
    Warburton is a surname of English origin borne by various notable individuals, including actors, athletes, and public figures.
  • B. Warburton
    Warburton is a village in Greater Manchester, England, known for its historic church, toll bridge over the River Mersey, and rural character.
  • C. Warburton
    Warburton is a small town in Victoria, Australia, known for its scenic forested setting in the Yarra Valley and popularity as a nature and weekend getaway destination.
  • D. Yates
    Yates is a surname of English origin borne by various notable individuals across literature, politics, sports, and other fields.
  • E. Wollaston
    Wollaston is a Massachusetts Bay Transportation Authority (MBTA) rapid transit station on the Red Line located in Quincy, Massachusetts.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69bd443775e48190a646ffbfc4334723 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd738d852c8190a122354f1e1f5343 completed March 20, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c64db5c81909224c82ae9d9e0ab completed March 21, 2026, 1:25 p.m.
NEDg Description generation batch_69be9ce7959081908b9ddb4c677c477c completed March 21, 2026, 1:28 p.m.
NED2 Entity disambiguation (via description) batch_69be9d7e00f88190b2d12e872fadc181 completed March 21, 2026, 1:30 p.m.
Created at: March 20, 2026, 1:36 p.m.